A 3D Tracker for Ground-Moving Objects

Multi-object tracking is a major area of research because of its wide application scope. In this paper we describe a set of improvements, toward video surveillance context, to the multi-object tracker proposed by [1]. First, we generalize the tracking by removing the specialization made for pedestrians. Then, we integrate easily available scene knowledge in order to allow three-dimensional reasoning and better handle occlusions. Additionally, we improve the group creation and destruction mechanism by adding an association pass and an overlap similarity criterion. We evaluate the proposed method on several synthetic and real-world videos.

Authors and Affiliations

1. CNRS, Université de Lyon, France

   M. Rogez, L. Robinault & L. Tougne

2. LIRIS, UMR5205, Université Lyon 2, F-69676, France

   M. Rogez, L. Robinault & L. Tougne

3. Foxstream, France

   M. Rogez & L. Robinault

Editors and Affiliations

1. Department of Computer Science and Engineering, University of Nevada at Reno, USA

   George Bebis

2. NASA Ames Research Center, Moffett Field, CA, USA

   Richard Boyle

3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

   Bahram Parvin

4. Desert Research Institute, Reno, NV, USA

   Darko Koracin

5. The University of Texas at Dallas, 75080, Richardson, TX, USA

   Ryan McMahan

6. NextGen Interactions, 27604, Raleigh, NC, USA

   Jason Jerald

7. Indiana University, 46202, Indianapolis, IN, USA

   Hui Zhang

8. Microsoft Research, 1 Microsoft Way, 98052, Redmond, WA, USA

   Steven M. Drucker

9. University of Delaware, 19716-2712, Newark, DE, USA

   Chandra Kambhamettu

10. Intel Corp., 95054, Sata Clara, CA, USA

    Maha El Choubassi

11. Computer Graphics and Interactive Media Lab, Department of Computer Science, University of Houston, 77004, Houston, TX, USA

    Zhigang Deng

12. NVIDIA, 34788, Leesburg, FL, USA

    Mark Carlson

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